Class 9 Exam  >  Class 9 Notes  >  Extra Documents & Tests for Class 9  >  NCERT Solutions Chapter 14 (Part -2) - Statistics, Class 9, Maths

NCERT Solutions for Class 9 Maths Chapter 14 - Chapter 14 (Part -2) - Statistics,

Question 3:

Given below are the seats won by different political parties in the polling outcome of a state assembly elections:

Political PartyABCDEF
Seats Won755537291037

(i) Draw a bar graph to represent the polling results.

(ii) Which political party won the maximum number of seats?

Answer 3:

(i) By taking polling results on x-axis and seats won as y-axis and choosing an appropriate scale (1 unit = 10 seats for y-axis), the required graph of the above information can be constructed as follows.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

Here, the rectangle bars are of the same length and have equal spacing in between them.

(ii) Political party ‘A’ won maximum number of seats.

Question 4:

The length of 40 leaves of a plant are measured correct to one millimetre, and the obtained data is represented in the following table

Length (in mm)Number of leaves
118 − 1263
127 − 1355
136 − 1449
145 − 15312
154 − 1625
163 − 1714
172 − 1802

(i) Draw a histogram to represent the given data.

(ii) Is there any other suitable graphical representation for the same data?

(iii) Is it correct to conclude that the maximum number of leaves are 153 mm long? Why?

Answer 4:

(i) It can be observed that the length of leaves is represented in a discontinuous class interval having a difference of 1 in between them. Therefore,(1/2 =0.5) has to be added to each upper class limit and also have to subtract 0.5 from the lower class limits so as to make the class intervals continuous.

Length (in mm)Number of leaves
117.5 − 126.52
126.5 − 135.55
135.5 − 144.59
144.5 − 153.512
153.5 − 162.55
162.5 − 171.54
171.5 − 180.52

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

Taking the length of leaves on x-axis and the number of leaves on y-axis, the histogram of this information can be drawn as above.

Here, 1 unit on y-axis represents 2 leaves.

(ii) Other suitable graphical representation of this data is frequency polygon.

(iii) No, as maximum number of leaves (i.e., 12) has their length in between 144.5 mm and 153.5 mm. It is not necessary that all have their lengths as 153 mm.

Question 5:

The following table gives the life times of neon lamps:

Length (in hours)Number of lamps
300 − 40014
400 − 50056
500 − 60060
600 − 70086
700 − 80074
800 − 90062
900 − 100048

(i) Represent the given information with the help of a histogram.

(ii) How many lamps have a lifetime of more than 700 hours?

Answer 5:

(i) By taking life time (in hours) of neon lamps on x-axis and the number of lamps on y-axis, the histogram of the given information can be drawn as follows.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

Here, 1 unit on y-axis represents 10 lamps.

(ii) It can be concluded that the number of neon lamps having their lifetime more than 700 is the sum of the number of neon lamps having their lifetime as 700 − 800, 800 − 900, and 900 − 1000.

Therefore, the number of neon lamps having their lifetime more than 700 hours is 184. (74 + 62 + 48 = 184)

Question 6:

The following table gives the distribution of students of two sections according to the mark obtained by them:

Section ASection B
MarksFrequencyMarksFrequency
0 − 1030 − 105
10 − 20910 − 2019
20 − 301720 − 3015
30 − 401230 − 4010
40 − 50940 − 501

 

Represent the marks of the students of both the sections on the same graph by two frequency polygons. From the two polygons compare the performance of the two sections.

Answer 6:

We can find the class marks of the given class intervals by using the following formula.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

Section ASection B
MarksClass marksFrequencyMarksClass marksFrequency
0 − 10530 − 1055
10 − 2015910 − 201519
20 − 30251720 − 302515
30 − 40351230 − 403510
40 − 5045940 − 50451

Taking class marks on x-axis and frequency on y-axis and choosing an appropriate scale (1 unit = 3 for y-axis), the frequency polygon can be drawn as follows.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

It can be observed that the performance of students of section ‘A’ is better than the students of section ‘B’ in terms of good marks.

Question 7:

The runs scored by two teams A and B on the first 60 balls in a cricket match are given below:

Number of ballsTeam ATeam B
1 − 625
7 − 1216
13 − 1882
19 − 24910
25 − 3045
31 − 3656
37 − 4263
43 − 48104
49 − 5468
55 − 60210

Represent the data of both the teams on the same graph by frequency polygons.

[Hint: First make the class intervals continuous.]

Answer 7:

It can be observed that the class intervals of the given data are not continuous. There is a gap of 1 in between them. Therefore, (1/2 = 0.5) has to be added to the upper class limits and 0.5 has to be subtracted from the lower class limits.

Also, class mark of each interval can be found by using the following formula.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

Continuous data with class mark of each class interval can be represented as follows.

Number of ballsClass markTeam ATeam B
0.5 − 6.53.525
6.5 − 12.59.516
12.5 − 18.515.582
18.5 − 24.521.5910
24.5 − 30.527.545
30.5 − 36.533.556
36.5 − 42.539.563
42.5 − 48.545.5104
48.5 − 54.551.568
54.5 − 60.557.5210

By taking class marks on x-axis and runs scored on y-axis, a frequency polygon can be constructed as follows.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

Question 8:

A random survey of the number of children of various age groups playing in park was found as follows:

Age (in years)Number of children
1 − 25
2 − 33
3 − 56
5 − 712
7 − 109
10 − 1510
15 − 174

Draw a histogram to represent the data above.

Answer 8:

Here, it can be observed that the data has class intervals of varying width. The proportion of children per 1 year interval can be calculated as follows.

Age (in years)Frequency
 (Number of children)
Width of classLength of rectangle
1 − 251NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
2 − 331NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
3 − 562NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
5 − 7122NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
7 − 1093NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
10 − 15105NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
15 − 1742NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

Taking the age of children on x-axis and proportion of children per 1 year interval on y-axis, the histogram can be drawn as follows.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

Question 9:

100 surnames were randomly picked up from a local telephone directory and a frequency distribution of the number of letters in the English alphabet in the surnames was found as follows:

Number of lettersNumber of surnames
1 − 46
4 − 630
6 − 844
8 − 1216
12 − 202

(i) Draw a histogram to depict the given information.

(ii) Write the class interval in which the maximum number of surname lie.

Answer 9:

(i) Here, it can be observed that the data has class intervals of varying width. The proportion of the number of surnames per 2 letters interval can be calculated as follows.

Number of lettersFrequency (Number of surnames)Width of classLength of rectangle
1 − 463NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
4 − 6302NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
6 − 8442NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
8 − 12164NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
12 − 2048NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

By taking the number of letters on x-axis and the proportion of the number of surnames per 2 letters interval on y-axis and choosing an appropriate scale (1 unit = 4 students for y axis), the histogram can be constructed as follows.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

(ii) The class interval in which the maximum number of surnames lies is 6 − 8 as it has 44 surnames in it i.e., the maximum for this data.

The number of goals scored by the team is

2, 3, 4, 5, 0, 1, 3, 3, 4, 3

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
= 28/10 = 2.8

= 2.8 goals

Arranging the number of goals in ascending order,

0, 1, 2, 3, 3, 3, 3, 4, 4, 5

The number of observations is 10, which is an even number. Therefore, median score will be the mean of 10/2 i.e., 5th and  (10/2 +1) i.e., 6th observation while arranged in ascending or descending order.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

= (3+3/2) 

= (6/2)

= 3

Mode of data is the observation with the maximum frequency in data.

Therefore, the mode score of data is 3 as it has the maximum frequency as 4 in the data.

Question 2:

In a mathematics test given to 15 students, the following marks (out of 100) are recorded:

41, 39, 48, 52, 46, 62, 54, 40, 96, 52, 98, 40, 42, 52, 60

Find the mean, median and mode of this data.

Answer 2:

The marks of 15 students in mathematics test are

41, 39, 48, 52, 46, 62, 54, 40, 96, 52, 98, 40, 42, 52, 60

 NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

= 822/15= 54.8

Arranging the scores obtained by 15 students in an ascending order,

39, 40, 40, 41, 42, 46, 48, 52, 52, 52, 54, 60, 62, 96, 98

As the number of observations is 15 which is odd, therefore, the median of data will be (15+1)/2= 8thobservation whether the data is arranged in an ascending or descending order.

Therefore, median score of data = 52

Mode of data is the observation with the maximum frequency in data. Therefore, mode of this data is 52 having the highest frequency in data as 3.

Question 3:

The following observations have been arranged in ascending order. If the median of the data is 63, find the value of x.

29, 32, 48, 50, xx + 2, 72, 78, 84, 95

Answer 3:

It can be observed that the total number of observations in the given data is 10 (even number). Therefore, the median of this data will be the mean of 10/2 i.e., 5th and NCERT Solutions for Class 9 Maths Chapter 14 - Chapter 14 (Part -2) - Statistics,i.e., 6th observation.

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics 

⇒ 63 =  NCERT Solutions for Class 9 Maths Chapter 14 - Chapter 14 (Part -2) - Statistics,

⇒ 63 =  NCERT Solutions for Class 9 Maths Chapter 14 - Chapter 14 (Part -2) - Statistics,

⇒ 63 x+1
⇒ x = 62

Question 4:

Find the mode of 14, 25, 14, 28, 18, 17, 18, 14, 23, 22, 14, 18.

Answer 4:

Arranging the data in an ascending order,

14, 14, 14, 14, 17, 18, 18, 18, 22, 23, 25, 28

It can be observed that 14 has the highest frequency, i.e. 4, in the given data. Therefore, mode of the given data is 14.

Question 5:

Find the mean salary of 60 workers of a factory from the following table:

Salary (in Rs)Number of workers
300016
400012
500010
60008
70006
80004
90003
10002
Total1

Answer 5:
We know that

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics
NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

Salary (in Rs) (xi)Number of workers (fi)fixi
3000163000 × 16 = 48000
4000124000 × 12 = 48000
5000105000 × 10 = 50000
600086000 × 8 = 48000
700067000 × 6 = 42000
800048000 × 4 = 32000
900039000 × 3 = 27000
10000110000 × 1 = 10000
TotalNCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  StatisticsNCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

NCERT,CBSE,Class IX,Mathematics,Solved,Question and Answer,Q and A  Statistics

= 5083.33

Therefore, mean salary of 60 workers is Rs 5083.33.

Question 6:

Give one example of a situation in which

(i) The mean is an appropriate measure of central tendency.

(ii) The mean is not an appropriate measure of central tendency but the median is an appropriate measure of central tendency.

Answer 6:

When any data has a few observations such that these are very far from the other observations in it, it is better to calculate the median than the mean of the data as median gives a better estimate of average in this case.

(i) Consider the following example − the following data represents the heights of the members of a family.

154.9 cm, 162.8 cm, 170.6 cm, 158.8 cm, 163.3 cm, 166.8 cm, 160.2 cm

In this case, it can be observed that the observations in the given data are close to each other. Therefore, mean will be calculated as an appropriate measure of central tendency.

(ii) The following data represents the marks obtained by 12 students in a test.

48, 59, 46, 52, 54, 46, 97, 42, 49, 58, 60, 99

In this case, it can be observed that there are some observations which are very far from other observations. Therefore, here, median will be calculated as an appropriate measure of central tendency.

The document NCERT Solutions for Class 9 Maths Chapter 14 - Chapter 14 (Part -2) - Statistics, is a part of the Class 9 Course Extra Documents & Tests for Class 9.
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FAQs on NCERT Solutions for Class 9 Maths Chapter 14 - Chapter 14 (Part -2) - Statistics,

1. What are the measures of central tendency in statistics?
Ans. Measures of central tendency in statistics are numerical values that represent the center or average of a set of data. The three commonly used measures of central tendency are mean, median, and mode. The mean is calculated by finding the sum of all the values in the data set and dividing it by the total number of values. The median is the middle value when the data is arranged in ascending or descending order. The mode is the value that appears most frequently in the data set.
2. How is the mean calculated in statistics?
Ans. To calculate the mean in statistics, you need to find the sum of all the values in the data set and divide it by the total number of values. For example, if you have the data set {2, 4, 6, 8, 10}, you would add all the values together (2 + 4 + 6 + 8 + 10 = 30) and divide by the total number of values (5). Therefore, the mean of this data set would be 30/5 = 6.
3. What is the difference between the mean and median in statistics?
Ans. The mean and median are both measures of central tendency in statistics, but they represent different aspects of the data set. The mean is the average value of all the data points, calculated by summing all the values and dividing by the total number of values. The median, on the other hand, is the middle value when the data is arranged in ascending or descending order. The main difference between the mean and median is their sensitivity to extreme values or outliers. The mean can be greatly affected by outliers, as it takes into account all the values in the data set. The median, however, is not affected by outliers as it only considers the middle value. Therefore, if a data set has extreme values, the median may provide a more accurate representation of the central tendency compared to the mean.
4. How is the mode calculated in statistics?
Ans. The mode in statistics is the value that appears most frequently in a data set. To calculate the mode, you need to identify the value or values that occur with the highest frequency. In some cases, a data set may not have a mode if all the values occur with equal frequency or if no value is repeated. In other cases, a data set may have multiple modes if two or more values have the same highest frequency. For example, in the data set {2, 4, 4, 6, 8, 8, 8, 10}, the mode is 8 because it appears three times, which is more than any other value. However, in the data set {2, 4, 6, 8, 10}, there is no mode as all the values occur only once.
5. How can statistics be used in real life?
Ans. Statistics can be used in various aspects of real life to gather, analyze, and interpret data. It helps in making informed decisions, predicting outcomes, and understanding trends. Some common applications of statistics in real life include: - Market research: Statistics are used to analyze consumer behavior, preferences, and market trends, helping businesses make informed decisions about product development, pricing, and marketing strategies. - Healthcare: Statistics help in analyzing medical data, conducting clinical trials, and identifying patterns or risk factors for diseases. It also plays a crucial role in public health research and policy-making. - Sports: Statistics are extensively used in sports to analyze players' performance, evaluate strategies, and predict outcomes. It helps in identifying key performance indicators and making data-driven decisions. - Government and policy-making: Statistics provide valuable insights for governments to develop policies, allocate resources, and measure the impact of various initiatives. It helps in understanding demographics, economic indicators, and social trends. - Finance and economics: Statistics are used in financial analysis, risk assessment, and forecasting. It helps in analyzing market trends, evaluating investment opportunities, and making financial decisions. These are just a few examples of how statistics can be applied in real life. Its applications are vast and diverse, making it an essential tool in many fields.
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